Salim Abu-Fadil
- Endocrinology, Diabetes and Metabolism top 5%
- Obstetrics and Gynecology top 2%
- Surgery
- Reproductive Medicine top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- S. S. C. YENHélène LeblancG C LachelinJeffrey S. GreenspoonDavid A. SacksSamuel S.C. YenGillian C.L. LachelinGirma Wolde-Tsadik
- Topics
- Gestational Diabetes Research and Management (5 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Pituitary Gland Disorders and Treatments (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAmerican Journal of Obstetrics and GynecologyContraception
- Partner nations
- United States
In The Last Decade
Salim Abu-Fadil
9 papers receiving 693 citations
Peers
Comparison fields: 5 of 73
- Endocrinology, Diabetes and Metabolism 349
- Obstetrics and Gynecology 292
- Surgery 239
- Reproductive Medicine 174
- Pediatrics, Perinatology and Child Health 110
Countries citing papers authored by Salim Abu-Fadil
This map shows the geographic impact of Salim Abu-Fadil's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Salim Abu-Fadil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salim Abu-Fadil more than expected).
Fields of papers citing papers by Salim Abu-Fadil
This network shows the impact of papers produced by Salim Abu-Fadil. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Salim Abu-Fadil. The network helps show where Salim Abu-Fadil may publish in the future.
Co-authorship network of co-authors of Salim Abu-Fadil
This figure shows the co-authorship network connecting the top 25 collaborators of Salim Abu-Fadil. A scholar is included among the top collaborators of Salim Abu-Fadil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salim Abu-Fadil. Salim Abu-Fadil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 151 | |
| 2 | 29 | |
| 3 | 53 | |
| 4 | Screening for gestational diabetes with the one-hour 50-g glucose test. | 46 |
| 5 | 82 | |
| 6 | 46 | |
| 7 | 60 | |
| 8 | 228 | |
| 9 | 71 |
About Salim Abu-Fadil
Salim Abu-Fadil is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 9 papers that have together received 766 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Obstetrics and Gynecology (292 citations), Endocrinology, Diabetes and Metabolism (349 citations) and Reproductive Medicine (174 citations). Salim Abu-Fadil has collaborated with scholars based in United States. Frequent co-authors include S. S. C. YEN, Hélène Leblanc, G C Lachelin, Jeffrey S. Greenspoon, David A. Sacks, Samuel S.C. Yen, Gillian C.L. Lachelin, Girma Wolde-Tsadik, Janis F. Yao and Nick Fotheringham. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Contraception.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.